PPT-(Better) Bootstrap Confidence Intervals

TAU Bootstrap Seminar 2011 Dr Saharon Rosset Shachar Kaufman Based on Efron and Tibshiranis An introduction to the bootstrap Chapter 14 Agenda Whats wrong with the simpler intervals. Remember we saw The sample proportion will differ from the population proportion by more than the margin of error less than 5 of the time The Margin of Error for a sample of size n is 1 n Suppose we wanted to estimate a Population Mean rather than a Day 1. Lock, Lock, Lock Morgan, Lock, and Lock. MAA . Minicourse. – Joint Mathematics Meetings. Baltimore, MD. January 2014. The Lock. 5. Team. Dennis. Iowa State. Kari. Harvard/Duke. Eric. UNC/Duke. Robin H. Lock, Burry Professor of Statistics. Patti Frazer Lock, Cummings Professor of Mathematics. St. Lawrence University. Joint Mathematics Meetings. New Orleans, January 2011. Intro Stat at St. Lawrence. . and Randomization Procedures. Dennis Lock. Statistics Education Meeting. October 30, 2012. 1. An introductory statistics book writing with my family. Robin H. Lock (St. Lawrence). Patti F. Lock (St. Lawrence). Using Lock5. Statistics: Unlocking the Power of Data. Patti Frazer Lock. Chapter 1: Collecting Data. Why is this first?. Comes first in actual analysis. More interesting than histograms and mean/median!. Day 1. Lock, Lock, Lock, Lock, and Lock. Minicourse. – Joint Mathematics Meetings. Boston, MA. January 2012. WiFi. : . marriotconference. , password: 1134ams. Introductions. :. Name. Institution. An Intuitive Introduction to Confidence Intervals. Robin Lock. Burry Professor of Statistics. St. Lawrence University. AMATYC Webinar. December 6, 2016. The Lock. 5. Team. Patti & Robin. St. Lawrence. Day 1. Lock, Lock, Lock, Lock, and Lock. Minicourse. – Joint Mathematics Meetings. Boston, MA. January . 2012. WiFi. : . marriotconference. , password: 1134ams. Introductions. :. Name. Institution. Day 1. Lock, Lock, Lock, Lock, and Lock. MAA . Minicourse. – Joint Mathematics Meetings. San Diego, CA. January 2013. The Lock. 5. Team. Robin. St. Lawrence. Dennis. Iowa State. Eric. Duke. Kari. Section 8.1. Confidence Intervals: The Basics. After this section, you should be able to…. INTERPRET a confidence level. INTERPRET a confidence interval in context. DESCRIBE how a confidence interval gives a range of plausible values for the parameter. Robin Lock. Burry Professor of Statistics. St. Lawrence University. AMATYC Webinar. December 6, 2016. The Lock. 5. Team. Patti & Robin. St. Lawrence. Kari. Harvard. Penn State. Eric. North Carolina. Day 1. Lock, Lock, Lock, Lock, and Lock. Minicourse. – Joint Mathematics Meetings. Boston, MA. January 2012. WiFi. : . marriotconference. , password: 1134ams. Introductions. :. Name. Institution. Chapter 6 Confidence Intervals Sections 6-1 and 6-2 Confidence Intervals for Large and Small Samples   VOCABULARY: Point Estimate – A single value estimate for a population parameter. Introductory Statistics. Robin H. Lock, Burry Professor of Statistics. St. Lawrence University. Breakout Panel. USCOTS 2011 - Raleigh, NC. Intro Stat (Math 113) at St. Lawrence. 26-29 students per section.